Agent Security Gap Puts Enterprises at Risk
A significant security gap exists as organizations rapidly deploy AI agents without adequate controls, according to new research. Over half (54%) of enterprises have already experienced an agent security incident or near-miss, while fundamental security practices lag behind.
Key Findings
- Incident rates are high: 18% confirmed incidents, 36% near misses
- Identity management is weak: Only 32% give every agent its own identity; most share credentials
- Isolation measures insufficient: Just 30% isolate their highest-risk agents
- Security stacks are borrowed: Organizations primarily use controls from model providers (OpenAI, Google Cloud, etc.) rather than purpose-built agent security solutions
- Satisfaction masks risk: While enterprises rate existing controls highly (4.2/5), most acknowledge defenses aren’t keeping pace with AI threats and plan to change tooling soon